Gen AI Engineer

About the Job:
The company is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. The company offers a consulting-led, cognitive-powered, integrated portfolio of business, technology, and engineering services and solutions through its unique Location Independent Agile™ delivery model.

Job Description:
Technical Skills Required:

• Strong foundation in deep-learning mathematics, including linear algebra, probability, and optimization.
• Expertise in PyTorch and/or TensorFlow.
• Mastery of Hugging Face Transformers/Diffusers and ability to write custom CUDA kernels.
• Experience with distributed training on GPU/TPU clusters.
• Proficiency with prompt-engineering tools (LangChain, LlamaIndex).
• RAG expertise in building vector stores, hybrid retrieval, and multi-agent orchestration.
• MCP server knowledge: designing, deploying, and scaling services that manage agent communication and state (REST/gRPC, message queues, load balancing).
• Familiarity with MLOps stack including Docker, Kubernetes, Helm, CI/CD, Triton/TensorRT Inference Server, Prometheus, and Grafana.
• Experience in large-scale data pipelines (Spark, Beam, Dask) and data versioning (LakeFS, DVC, Weights & Biases).
• Publications or patents in generative AI (NeurIPS, ICML, ICLR, CVPR) are advantageous.
• Open-source contributions to major libraries (Hugging Face, PyTorch, Diffusers) are a plus.
• Domain expertise in finance, healthcare, gaming, or creative media is preferred.

Work Conditions: On-site
Location: Dhahran, Saudi Arabia
Job Type: Full-time

Application Deadline: February 28, 2026

Thank you for considering this opportunity with the company.